Olowojebutu2020_Article_SCR-FilterModelOrderReduction1.pdf (2.12 MB)
SCR-filter model order reduction (1): Development and validation of the base “high-fidelity” model
journal contribution
posted on 2020-02-14, 09:36 authored by Seun Olowojebutu, Thomas SteffenThomas Steffen, Phillip BushCatalysed diesel particulate filters (c-DPF) have been described as multifunctional reactor systems. Integration of selective catalytic reduction (SCR) functionality in the DPF enhances filter performance to achieve nitrous oxides (NOx) treatment along with particulate matter (PM) collection. The physical and chemical aspects of the integrated SCR-filter make modelling difficult. The goal of this work is to develop a low-complexity model of the SCR-filter system with good fidelity. The first part of our work—presented in this paper—lays out the structure of the SCR-filter model and highlights a new approach to implement faster than real-time solution to the “full-order” or “high-complexity” model. The validated model was applied to evaluate the impact of diffusion on deNOx functionality of the SCR-filter system in a simulated characterisation exercise for the SCR-filter unit. We found that internal (pore) diffusion (effective diffusivity coefficient) and external channel to wall diffusion (mass transfer coefficient) orthogonal to the channel direction are significant for accurate characterisation of the deNOx performance of the SCR-coated filter system. System modelling can be used to select the geometric properties of the monolith (length and density of the SCR-coated filter system) and micro-properties of the washcoat (catalyst loading and zoning) to optimise the influence of diffusion on the system performance. The main contribution of this paper is the presentation of a different approach to implementing the solution to the cDPF model and in enough detail so that it can be easily replicated.
Funding
Engineering and Physical Sciences Research Council (EPSRC)
Eminox Ltd.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
- Materials
Published in
Emission Control Science and TechnologyVolume
6Pages
58–74Publisher
Springer Science and Business Media LLCVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.Acceptance date
2019-10-31Publication date
2019-12-11Copyright date
2019ISSN
2199-3629eISSN
2199-3637Publisher version
Language
- en
Depositor
Dr Thomas Steffen. Deposit date: 13 February 2020Usage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC